{"id":"W4412702552","doi":"10.2139/ssrn.5355483","title":"Transportation Infrastructure, Market Access, and Deforestation","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Energy, Environment, and Transportation Policies","field":"Energy","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; University of Guelph","funders":"","keywords":"Deforestation (computer science); Business; Market access; Natural resource economics; Industrial organization; Economics; Computer science; Geography; Agriculture","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006251798,0.0001956618,0.0004271185,0.0009377652,0.000393159,0.002239685,0.0003170013,0.00123257,0.02968915],"category_scores_gemma":[0.003666312,0.000151536,0.0004971843,0.002485187,0.0006237122,0.0014319,0.0008445012,0.00107911,0.0006278819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001164299,"about_ca_system_score_gemma":0.001004926,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0355582,"about_ca_topic_score_gemma":0.04147224,"domain_scores_codex":[0.999705,0.00007383723,0.00001831129,0.00003767509,0.00005599638,0.0001090324],"domain_scores_gemma":[0.9963464,0.002123924,0.0009954018,0.000058527,0.0001621911,0.000313512],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001323043,0.0009054764,0.6263216,0.0006295159,0.0008326832,0.001308715,0.001227831,0.04188162,0.001200432,0.2439082,0.02682134,0.05363948],"study_design_scores_gemma":[0.0001697351,0.0004940549,0.7551767,0.0003280378,0.0008178217,0.0004084015,0.006634181,0.03323631,0.001250562,0.1617564,0.0396518,0.00007606205],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8880174,0.00921693,0.00166887,0.01988947,0.0001908383,0.00002595681,0.003571871,0.00006067197,0.07735813],"genre_scores_gemma":[0.9880409,0.003770637,0.0001155555,0.0002062544,0.0001363062,0.00000968152,0.0004556231,0.00001182642,0.007253268],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0355582,"threshold_uncertainty_score":0.09932005,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006023890184106419,"score_gpt":0.2433708865375552,"score_spread":0.2373469963534487,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}